May 2024
Intermediate
252 pages
5h 31m
Chinese
Content preview from Ray 分布式机器学习：利用Ray 进行大模型的数据处理、训练、推理和部署
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Ray
生态及其他
|
223
train_dataset = train_dataset.map_batches(to_labeled_image)
test_dataset = test_dataset.map_batches(to_labeled_image)
return {
"image": np.array([image.numpy() for image, _ in batch]),
"label": np.array([label for _, label in batch]),
}
❶
通过返回
image
和
label
的
NumPy
数组，对每个数据
batch
进行转换。
❷
应用
map_batches
来转换初始数据集。
在进行模型训练之前，表
11.1
展示了
Ray Dataset
库支持的输入格式
注
2
。
1
表 11.1：Ray Dataset 生态
集成 类型 说明
文本
、
二进制
、
图
像文件
、
CSV
、
JSON
基础数据
格式
Ray Dataset 支持加载和存储这些数据格式
，
但严格来
讲
，
这些格式不属于集成
NumPy
、
Pandas
、
Arrow
、
Parquet
、
Python 对象
高级数据
格式
Ray Dataset 支持常见的 ML 数据库
，
例如 NumPy 和
Pandas
，
也支持读取自定义Python 对象或Parquet
文件
Spark
、
Dask
、
MARS
、
Modin
高级第三
方集成
Ray 通过社区集成的方式支持更多复杂的数据处理
系统
，
例如Spark on Ray
（
RayDP
）、
Dask on Ray ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.